{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# SMS Spam Classification\n",
    "\n",
    "This notebook illustrates classification of SMS as SPAM or NOT SPAM. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Installing Dependicies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import csv\n",
    "import pandas\n",
    "import sklearn\n",
    "import pickle\n",
    "from wordcloud import WordCloud\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
    "from sklearn.tree import DecisionTreeClassifier \n",
    "from sklearn.learning_curve import learning_curve"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preprocessing and Exploring the Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing the Dataset spam.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     v1                                                 v2 Unnamed: 2  \\\n",
       "0   ham  Go until jurong point, crazy.. Available only ...        NaN   \n",
       "1   ham                      Ok lar... Joking wif u oni...        NaN   \n",
       "2  spam  Free entry in 2 a wkly comp to win FA Cup fina...        NaN   \n",
       "3   ham  U dun say so early hor... U c already then say...        NaN   \n",
       "4   ham  Nah I don't think he goes to usf, he lives aro...        NaN   \n",
       "\n",
       "  Unnamed: 3 Unnamed: 4  \n",
       "0        NaN        NaN  \n",
       "1        NaN        NaN  \n",
       "2        NaN        NaN  \n",
       "3        NaN        NaN  \n",
       "4        NaN        NaN  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('data/spam.csv', encoding='latin-1')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Removing unwanted columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = data.drop([\"Unnamed: 2\", \"Unnamed: 3\", \"Unnamed: 4\"], axis=1)\n",
    "data = data.rename(columns={\"v2\" : \"text\", \"v1\":\"label\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>ham</td>\n",
       "      <td>HI DARLIN IVE JUST GOT BACK AND I HAD A REALLY...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>ham</td>\n",
       "      <td>No other Valentines huh? The proof is on your ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free tones Hope you enjoyed your new content. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>ham</td>\n",
       "      <td>Eh den sat u book e kb liao huh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>ham</td>\n",
       "      <td>Have you been practising your curtsey?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>ham</td>\n",
       "      <td>Shall i come to get pickle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>ham</td>\n",
       "      <td>Lol boo I was hoping for a laugh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>ham</td>\n",
       "      <td>\\YEH I AM DEF UP4 SOMETHING SAT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>ham</td>\n",
       "      <td>Well, I have to leave for my class babe ... Yo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>ham</td>\n",
       "      <td>LMAO where's your fish memory when I need it?</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     label                                               text\n",
       "1990   ham  HI DARLIN IVE JUST GOT BACK AND I HAD A REALLY...\n",
       "1991   ham  No other Valentines huh? The proof is on your ...\n",
       "1992  spam  Free tones Hope you enjoyed your new content. ...\n",
       "1993   ham                 Eh den sat u book e kb liao huh...\n",
       "1994   ham             Have you been practising your curtsey?\n",
       "1995   ham                         Shall i come to get pickle\n",
       "1996   ham                   Lol boo I was hoping for a laugh\n",
       "1997   ham                    \\YEH I AM DEF UP4 SOMETHING SAT\n",
       "1998   ham  Well, I have to leave for my class babe ... Yo...\n",
       "1999   ham      LMAO where's your fish memory when I need it?"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[1990:2000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ham     4825\n",
       "spam     747\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['label'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some Visualisations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1042b37f0>]], dtype=object)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YAMBgAhgAwGACGADAYAIYAMBgAhgAwGACGADAYAIYAMBgAhgAwGACGADAYAIYAMBgAhgA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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f733588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['length'] = data['text'].map(lambda x: len(x))\n",
    "data.hist(column='length',bins=50, figsize=(10,7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x110bbfe10>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x11165c048>], dtype=object)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JXeBhc7LCCgAAAIChCKwAAAAAGIrACgAAAIChCKwAAAAAGIqm6wAAACyLBudb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\nAABD+f8BQHi87T3YeKAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110776f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(column='length', by='label', bins=100, figsize=(20,7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import nltk\n",
    "#nltk.download(\"punkt\")\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### WordClouds- to see which words are common in SPAM and NOT SPAM mesaages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ham_words = ''\n",
    "spam_words = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for val in data[data['label'] == 'spam'].text:\n",
    "    text = val.lower()\n",
    "    tokens = nltk.word_tokenize(text)\n",
    "    for words in tokens:\n",
    "        spam_words = spam_words + words + ' '\n",
    "        \n",
    "for val in data[data['label'] == 'ham'].text:\n",
    "    text = val.lower()\n",
    "    tokens = nltk.word_tokenize(text)\n",
    "    for words in tokens:\n",
    "        ham_words = ham_words + words + ' '"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "spam_wordcloud = WordCloud(width=500, height=300).generate(spam_words)\n",
    "ham_wordcloud = WordCloud(width=500, height=300).generate(ham_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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H/ikXAAB6qnbD3HAEojfQEBVUGmTMWip/DibhGYrzjCcde+hFIH3aQqgNmShe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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111461860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Spam Word cloud\n",
    "plt.figure( figsize=(10,8), facecolor='w')\n",
    "plt.imshow(spam_wordcloud)\n",
    "plt.axis(\"off\")\n",
    "plt.tight_layout(pad=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wdLZDoKDZBEdrE3q3Bvt+t7zw95DtUldfAVnReGRcc2P/6/owsr5y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\nZnQM7o42yPMLAACu1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L7bvCgY7rwBAOD47ACGHntl1jWFmSoYF2W/vJ29XOdKkVwGWaGR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sbDj+vgDiMiwzDAPbfT3Dp/FT1ovPYO+7L3oVRNfEmVAh4ZZ0K+BFYnfV9ivgJWlwHbO0en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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f69f278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure( figsize=(10,8), facecolor='g')\n",
    "plt.imshow(ham_wordcloud)\n",
    "plt.axis(\"off\")\n",
    "plt.tight_layout(pad=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = data.replace(['ham','spam'],[0, 1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>text</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>FreeMsg Hey there darling it's been 3 week's n...</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>Even my brother is not like to speak with me. ...</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>As per your request 'Melle Melle (Oru Minnamin...</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>WINNER!! As a valued network customer you have...</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>Had your mobile 11 months or more? U R entitle...</td>\n",
       "      <td>154</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                               text  length\n",
       "0      0  Go until jurong point, crazy.. Available only ...     111\n",
       "1      0                      Ok lar... Joking wif u oni...      29\n",
       "2      1  Free entry in 2 a wkly comp to win FA Cup fina...     155\n",
       "3      0  U dun say so early hor... U c already then say...      49\n",
       "4      0  Nah I don't think he goes to usf, he lives aro...      61\n",
       "5      1  FreeMsg Hey there darling it's been 3 week's n...     148\n",
       "6      0  Even my brother is not like to speak with me. ...      77\n",
       "7      0  As per your request 'Melle Melle (Oru Minnamin...     160\n",
       "8      1  WINNER!! As a valued network customer you have...     158\n",
       "9      1  Had your mobile 11 months or more? U R entitle...     154"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Removing Stopwords from the messages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import string\n",
    "def text_process(text):\n",
    "    \n",
    "    text = text.translate(str.maketrans('', '', string.punctuation))\n",
    "    text = [word for word in text.split() if word.lower() not in stopwords.words('english')]\n",
    "    \n",
    "    return \" \".join(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data['text'] = data['text'].apply(text_process)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>text</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go jurong point crazy Available bugis n great ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar Joking wif u oni</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry 2 wkly comp win FA Cup final tkts 2...</td>\n",
       "      <td>155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say early hor U c already say</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah dont think goes usf lives around though</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                               text  length\n",
       "0      0  Go jurong point crazy Available bugis n great ...     111\n",
       "1      0                            Ok lar Joking wif u oni      29\n",
       "2      1  Free entry 2 wkly comp win FA Cup final tkts 2...     155\n",
       "3      0                U dun say early hor U c already say      49\n",
       "4      0        Nah dont think goes usf lives around though      61"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "text = pd.DataFrame(data['text'])\n",
    "label = pd.DataFrame(data['label'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Converting words to vectors\n",
    "\n",
    "- First create a vocabulary of all words in the dataset (text messages)\n",
    "\n",
    "- #### Vector created as follows :\n",
    " - positions with respect to highest occuring word\n",
    " - Eg : 1 at first index means first word in vocab(most frequent occuring in vocab which is 'of') occurs twice in this sentence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total words in data set:  11305\n"
     ]
    }
   ],
   "source": [
    "## Counting how many times a word appears in the dataset\n",
    "\n",
    "from collections import Counter\n",
    "\n",
    "total_counts = Counter()\n",
    "for i in range(len(text)):\n",
    "    for word in text.values[i][0].split(\" \"):\n",
    "        total_counts[word] += 1\n",
    "\n",
    "print(\"Total words in data set: \", len(total_counts))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['u', '2', 'call', 'U', 'get', 'Im', 'ur', '4', 'ltgt', 'know', 'go', 'like', 'dont', 'come', 'got', 'time', 'day', 'want', 'Ill', 'lor', 'Call', 'home', 'send', 'going', 'one', 'need', 'Ok', 'good', 'love', 'back', 'n', 'still', 'text', 'im', 'later', 'see', 'da', 'ok', 'think', 'Ì', 'free', 'FREE', 'r', 'today', 'Sorry', 'week', 'phone', 'mobile', 'cant', 'tell', 'take', 'much', 'night', 'way', 'Hey', 'reply', 'work', 'make', 'give', 'new']\n"
     ]
    }
   ],
   "source": [
    "## Sorting in decreasing order (Word with highest frequency appears first)\n",
    "vocab = sorted(total_counts, key=total_counts.get, reverse=True)\n",
    "print(vocab[:60])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Mapping from words to index\n",
    "\n",
    "vocab_size = len(vocab)\n",
    "word2idx = {}\n",
    "#print vocab_size\n",
    "for i, word in enumerate(vocab):\n",
    "    word2idx[word] = i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### Text to Vector\n",
    "def text_to_vector(text):\n",
    "    word_vector = np.zeros(vocab_size)\n",
    "    for word in text.split(\" \"):\n",
    "        if word2idx.get(word) is None:\n",
    "            continue\n",
    "        else:\n",
    "            word_vector[word2idx.get(word)] += 1\n",
    "    return np.array(word_vector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "## Convert all titles to vectors\n",
    "word_vectors = np.zeros((len(text), len(vocab)), dtype=np.int_)\n",
    "for ii, (_, text_) in enumerate(text.iterrows()):\n",
    "    word_vectors[ii] = text_to_vector(text_[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 11305)"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_vectors.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Converting words to vectors using TFIDF Vectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 9376)"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "vectorizer = TfidfVectorizer()\n",
    "vectors = vectorizer.fit_transform(data['text'])\n",
    "vectors.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Choosing which algorithm we want to use a features : TFIDF or using custom vocabulary ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#features = word_vectors\n",
    "features = vectors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Splitting into training and test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(features, data['label'], test_size=0.15, random_state=111)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4736, 9376)\n",
      "(836, 9376)\n",
      "(4736,)\n",
      "(836,)\n"
     ]
    }
   ],
   "source": [
    "print (X_train.shape)\n",
    "print (X_test.shape)\n",
    "print (y_train.shape)\n",
    "print (y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initial Classification using XGBoost"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### XGBoost using custom vocab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\ttrain-error:0.052998\n",
      "Will train until train-error hasn't improved in 50 rounds.\n",
      "[10]\ttrain-error:0.052998\n",
      "[20]\ttrain-error:0.048353\n",
      "[30]\ttrain-error:0.047086\n",
      "[40]\ttrain-error:0.048142\n",
      "[50]\ttrain-error:0.047297\n",
      "[60]\ttrain-error:0.04603\n",
      "[70]\ttrain-error:0.04772\n",
      "[80]\ttrain-error:0.044975\n",
      "[90]\ttrain-error:0.043497\n",
      "[100]\ttrain-error:0.040329\n",
      "[110]\ttrain-error:0.039907\n",
      "[120]\ttrain-error:0.039485\n",
      "[130]\ttrain-error:0.038851\n",
      "[140]\ttrain-error:0.03864\n",
      "[150]\ttrain-error:0.037584\n",
      "[160]\ttrain-error:0.036951\n",
      "[170]\ttrain-error:0.035473\n",
      "[180]\ttrain-error:0.033361\n",
      "[190]\ttrain-error:0.032728\n",
      "[200]\ttrain-error:0.031461\n",
      "[210]\ttrain-error:0.030828\n",
      "[220]\ttrain-error:0.030405\n",
      "[230]\ttrain-error:0.029772\n",
      "[240]\ttrain-error:0.029139\n",
      "[250]\ttrain-error:0.028716\n",
      "[260]\ttrain-error:0.027872\n",
      "[270]\ttrain-error:0.027872\n",
      "[280]\ttrain-error:0.026182\n",
      "[290]\ttrain-error:0.025971\n",
      "[300]\ttrain-error:0.025549\n",
      "[310]\ttrain-error:0.024916\n",
      "[320]\ttrain-error:0.024282\n",
      "[330]\ttrain-error:0.024282\n",
      "[340]\ttrain-error:0.024282\n",
      "[350]\ttrain-error:0.02386\n",
      "[360]\ttrain-error:0.023226\n",
      "[370]\ttrain-error:0.023015\n",
      "[380]\ttrain-error:0.022593\n",
      "[390]\ttrain-error:0.021748\n",
      "[399]\ttrain-error:0.021748\n"
     ]
    }
   ],
   "source": [
    "import xgboost as xgb\n",
    "\n",
    "# Set our parameters for xgboost\n",
    "params = {}\n",
    "params['objective'] = 'binary:logistic'\n",
    "params['eval_metric'] = 'error'\n",
    "params['eta'] = 0.02\n",
    "params['max_depth'] = 10\n",
    "\n",
    "d_train = xgb.DMatrix(X_train, label=y_train)\n",
    "\n",
    "watchlist = [(d_train, 'train')]\n",
    "\n",
    "bst = xgb.train(params, d_train, 400, watchlist, early_stopping_rounds=50, verbose_eval=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### XGBoost using TFIDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\ttrain-error:0.035262\n",
      "Will train until train-error hasn't improved in 400 rounds.\n",
      "[10]\ttrain-error:0.035895\n",
      "[20]\ttrain-error:0.034206\n",
      "[30]\ttrain-error:0.03125\n",
      "[40]\ttrain-error:0.029561\n",
      "[50]\ttrain-error:0.026182\n",
      "[60]\ttrain-error:0.02576\n",
      "[70]\ttrain-error:0.024704\n",
      "[80]\ttrain-error:0.024493\n",
      "[90]\ttrain-error:0.02386\n",
      "[100]\ttrain-error:0.023438\n",
      "[110]\ttrain-error:0.021748\n",
      "[120]\ttrain-error:0.021326\n",
      "[130]\ttrain-error:0.021748\n",
      "[140]\ttrain-error:0.021959\n",
      "[150]\ttrain-error:0.021748\n",
      "[160]\ttrain-error:0.021537\n",
      "[170]\ttrain-error:0.020481\n",
      "[180]\ttrain-error:0.020059\n",
      "[190]\ttrain-error:0.019426\n",
      "[200]\ttrain-error:0.019426\n",
      "[210]\ttrain-error:0.019003\n",
      "[220]\ttrain-error:0.018792\n",
      "[230]\ttrain-error:0.018581\n",
      "[240]\ttrain-error:0.01837\n",
      "[250]\ttrain-error:0.017736\n",
      "[260]\ttrain-error:0.017525\n",
      "[270]\ttrain-error:0.017314\n",
      "[280]\ttrain-error:0.017103\n",
      "[290]\ttrain-error:0.01647\n",
      "[300]\ttrain-error:0.016047\n",
      "[310]\ttrain-error:0.015836\n",
      "[320]\ttrain-error:0.015625\n",
      "[330]\ttrain-error:0.014992\n",
      "[340]\ttrain-error:0.014992\n",
      "[350]\ttrain-error:0.01478\n",
      "[360]\ttrain-error:0.014569\n",
      "[370]\ttrain-error:0.014147\n",
      "[380]\ttrain-error:0.014147\n",
      "[390]\ttrain-error:0.013936\n",
      "[399]\ttrain-error:0.013936\n"
     ]
    }
   ],
   "source": [
    "import xgboost as xgb\n",
    "\n",
    "# Set our parameters for xgboost\n",
    "params = {}\n",
    "params['objective'] = 'binary:logistic'\n",
    "params['eval_metric'] = 'error'\n",
    "params['eta'] = 0.02\n",
    "params['max_depth'] = 10\n",
    "\n",
    "d_train = xgb.DMatrix(X_train, label=y_train)\n",
    "\n",
    "watchlist = [(d_train, 'train')]\n",
    "\n",
    "bst = xgb.train(params, d_train, 400, watchlist, early_stopping_rounds=400, verbose_eval=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Accuracy:  0.971291866029\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "# Predict values for test set\n",
    "d_test = xgb.DMatrix(X_test)\n",
    "p_test = bst.predict(d_test)\n",
    "\n",
    "# Apply function round() to each element in np array\n",
    "# so predictions are all either 0 or 1.\n",
    "npround = np.vectorize(round)\n",
    "p_test_ints = npround(p_test)\n",
    "\n",
    "# Error rate for test set\n",
    "accuracy = accuracy_score(y_test, p_test_ints)\n",
    "print(\"Test Accuracy: \", accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test Accuracy using TFIDF Algorithm:  0.971291866029\n",
    "\n",
    "Test Accuracy using custom vocab:     0.972488038278"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classifying using sklearn pre built classifiers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "svc = SVC(kernel='sigmoid', gamma=1.0)\n",
    "knc = KNeighborsClassifier(n_neighbors=49)\n",
    "mnb = MultinomialNB(alpha=0.2)\n",
    "dtc = DecisionTreeClassifier(min_samples_split=7, random_state=111)\n",
    "lrc = LogisticRegression(solver='liblinear', penalty='l1')\n",
    "rfc = RandomForestClassifier(n_estimators=31, random_state=111)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "clfs = {'SVC' : svc,'KN' : knc, 'NB': mnb, 'DT': dtc, 'LR': lrc, 'RF': rfc}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def train(clf, features, targets):    \n",
    "    clf.fit(features, targets)\n",
    "\n",
    "def predict(clf, features):\n",
    "    return (clf.predict(features))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pred_scores_word_vectors = []\n",
    "for k,v in clfs.items():\n",
    "    train(v, X_train, y_train)\n",
    "    pred = predict(v, X_test)\n",
    "    pred_scores_word_vectors.append((k, [accuracy_score(y_test , pred)]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predictions using TFIDF Vectorizer algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SVC</th>\n",
       "      <td>0.978469</td>\n",
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       "      <td>0.933014</td>\n",
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       "    <tr>\n",
       "      <th>NB</th>\n",
       "      <td>0.988038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DT</th>\n",
       "      <td>0.960526</td>\n",
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       "    <tr>\n",
       "      <th>LR</th>\n",
       "      <td>0.953349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RF</th>\n",
       "      <td>0.979665</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Score\n",
       "SVC  0.978469\n",
       "KN   0.933014\n",
       "NB   0.988038\n",
       "DT   0.960526\n",
       "LR   0.953349\n",
       "RF   0.979665"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = pd.DataFrame.from_items(pred_scores,orient='index', columns=['Score'])\n",
    "predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predictions using custom vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>Score_</th>\n",
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       "      <th>SVC</th>\n",
       "      <td>0.922249</td>\n",
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       "      <th>KN</th>\n",
       "      <td>0.867225</td>\n",
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       "      <th>NB</th>\n",
       "      <td>0.977273</td>\n",
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       "      <td>0.971292</td>\n",
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       "      <td>0.983254</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Score_\n",
       "SVC  0.922249\n",
       "KN   0.867225\n",
       "NB   0.977273\n",
       "DT   0.971292\n",
       "LR   0.983254\n",
       "RF   0.973684"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions_word_vectors = pd.DataFrame.from_items(pred_scores_word_vectors,orient='index', columns=['Score_'])\n",
    "predictions_word_vectors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot of scores TFIDF Vectorizer algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x110a13940>"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SRjDnyjmDLqEnc2bPGXQJGmP9DInLgT261qc1bU+qqpXA8QBJAtwCLAVeA9xSVSuavguA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\nJEkthkRJkiS1GBIlSZLUYkiUJElSy/8PWmZs4C2qZuQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f97afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions.plot(kind='bar', ylim=(0.85,1.0), figsize=(9,6), align='center', colormap=\"Accent\")\n",
    "plt.xticks(np.arange(6), predictions.index)\n",
    "plt.ylabel('Accuracy Score')\n",
    "plt.title('Distribution by Classifier')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot of scores custom vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1118f57f0>"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2fQDHAJdW1fIkAT4BXFdV/7waP48kSZL6pMs9p1/V/vf1PW3FOIetq2pFkjcA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\nJEmd/D8X44nCSA5fxAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1118f56d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions_word_vectors.plot(kind='bar', ylim=(0.85,1.0), figsize=(9,6), align='center', colormap=\"Accent\")\n",
    "plt.xticks(np.arange(6), predictions_word_vectors.index)\n",
    "plt.ylabel('Accuracy Score')\n",
    "plt.title('Distribution by Classifier - Word Vectors')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def find(p):\n",
    "    if p == 1:\n",
    "        print (\"Message is SPAM\")\n",
    "    else:\n",
    "        print (\"Message is NOT Spam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "text = [\"Free tones Hope you enjoyed your new content\"]\n",
    "integers = vectorizer.transform(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Message is SPAM\n"
     ]
    }
   ],
   "source": [
    "p = mnb.predict(integers)[0]\n",
    "find(p)        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Saving the Best Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Model (Naive Bayes) Saved\n"
     ]
    }
   ],
   "source": [
    "from sklearn.externals import joblib\n",
    "joblib.dump(mnb, 'best.pkl')\n",
    "print (\"Best Model (Naive Bayes) Saved\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "best = joblib.load('best.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultinomialNB(alpha=0.2, class_prior=None, fit_prior=True)"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing our classifiers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "text1 = [\"Free tones Hope you enjoyed your new content\"]\n",
    "text2 = [\"No. I meant the calculation is the same. That I'll call later\"]\n",
    "text3 = [\"Had your contract mobile 11 Mnths? Latest Motorola Now\"]\n",
    "text4 = [\"WINNER!! You just won a free ticket to Bahamas. Send your Details\"]\n",
    "\n",
    "integers1 = vectorizer.transform(text1)\n",
    "integers2 = vectorizer.transform(text2)\n",
    "integers3 = vectorizer.transform(text3)\n",
    "integers4 = vectorizer.transform(text4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Message is SPAM\n",
      "Message is SPAM\n",
      "Message is SPAM\n",
      "Message is SPAM\n"
     ]
    }
   ],
   "source": [
    "p1 = best.predict(integers)[0]\n",
    "p2 = best.predict(integers)[0]\n",
    "p3 = best.predict(integers)[0]\n",
    "p4 = best.predict(integers)[0]\n",
    "\n",
    "find(p1)\n",
    "find(p2)\n",
    "find(p3)\n",
    "find(p4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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